MsGCN: a multi-stream graph convolutional network for multiband PLV graph fusion in EEG-based biometric identification

IntroductionEEG-based biometric identification has attracted extensive attention due to its high security and uniqueness. Functional connectivity features derived from EEG exhibit strong individual specificity, yet existing methods do not fully leverage the complementary identity information contained in multiband functional connectivity features.MethodsThis study proposes a multi-stream graph convolutional network (MsGCN) for EEG-based biometric identification by fusing graph representations de